ReocgNice

01.01.2013 – 30.09.2016

It is the goal of the project to address the urgent scale-up problem by profound systems biology studies using E. coli as a relevant model strain. Multi-scale systems biology analysis will be performed focusing on the interplay ofsubstrate-gradient based stimuli and the dynamic metabolic and transcriptional response in the cells. Metabolome, fluxome and transcriptome data will be measured in scaled-down experiments simulating the gradients of the substantial substrates carbon (C-, glucose), nitrogen (N-, ammonia) and oxygen (O-). Quantitative transcript data, based on next generation sequencing will be gathered using diverse E. coli strains for setting-up data-driven metabolic and regulatory models. Based on model predictions novel scale-up criteria e.g. taking into account sensitive regulatory relaxation times of the strains will be derived. Furthermore most prominent reporter genes will be identified to qualify easy-to-measure scale-up impacts in situ, i.e. in real large-scale applications.